Kubernetes-in-Docker (kind) set up for running local multi-node Kubernetes clusters inside containers - ideal for development, experimentation, and CI testing.
Stop guessing from resumes. Drop candidates into this exact workspace, watch them build and operate it end-to-end, score the result automatically, and replay the session. We also evaluate how they work with AI.
Hire DevOps engineers who actually ship. Run live or take-home interviews in production-like Linux environments with Docker, Kubernetes, Terraform and CI/CD. See how they debug, automate, and work alongside AI.
Hire CI/CD engineers who keep your release train on time. Interview them in real GitHub Actions, GitLab CI and Jenkins workspaces with builds that fail the way they do in production.
Hire infrastructure engineers who design systems your team can rely on. Interview them in real workspaces with Terraform, Ansible, cloud APIs and live failure scenarios.
Hire backend engineers in real services with real databases, real concurrency and real latency budgets. Live or take-home, fully recorded.
ArgoCD ready for GitOps-driven continuous delivery to Kubernetes, automatically synchronizing cluster state from declarative manifests stored in Git.
Docker Engine ready for building, shipping, and running containers, with Compose for orchestrating local multi-service stacks out of the box.
Single-node K3s cluster pre-wired with ArgoCD for GitOps, plus a Gitea box to host the repositories.
Single-node K3s cluster pre-wired with FluxCD for GitOps reconciliation, plus a Gitea box for source-of-truth repositories.